Wang, Yun

19 publications

IJCAI 2025 Diff-LMM: Diffusion Teacher-Guided Spatio-Temporal Perception for Video Large Multimodal Models Jisheng Dang, Ligen Chen, Jingze Wu, Ronghao Lin, Bimei Wang, Yun Wang, Liting Wang, Nannan Zhu, Teng Wang

AAAI 2025 DualNet: Robust Self-Supervised Stereo Matching with Pseudo-Label Supervision Yun Wang, Jiahao Zheng, Chenghao Zhang, Zhanjie Zhang, Kunhong Li, Yongjian Zhang, Junjie Hu

AAAI 2025 FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation Min Lin, Gangwei Xu, Yun Wang, Xianqi Wang, Xin Yang

ICCV 2025 Lay2Story: Extending Diffusion Transformers for Layout-Togglable Story Generation Ao Ma, Jiasong Feng, Ke Cao, Jing Wang, Yun Wang, Quanwei Zhang, Zhanjie Zhang

ICCV 2025 Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts Yun Wang, Longguang Wang, Chenghao Zhang, Yongjian Zhang, Zhanjie Zhang, Ao Ma, Chenyou Fan, Tin Lun Lam, Junjie Hu

NeurIPS 2025 PPMStereo: Pick-and-Play Memory Construction for Consistent Dynamic Stereo Matching Yun Wang, Junjie Hu, Qiaole Dong, Yongjian Zhang, Yanwei Fu, Tin Lun Lam, Dapeng Wu

TMLR 2025 ViTime: Foundation Model for Time Series Forecasting Powered by Vision Intelligence Luoxiao Yang, Yun Wang, Xinqi Fan, Israel Cohen, Jingdong Chen, Zijun Zhang

ECCV 2024 Enhancing Cross-Subject fMRI-to-Video Decoding with Global-Local Functional Alignment Chong Li, Xuelin Qian, Yun Wang, Jingyang Huo, Xiangyang Xue, Yanwei Fu, Jianfeng Feng

CVPR 2024 MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling Xuzhe Zhang, Yuhao Wu, Elsa Angelini, Ang Li, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Pathik D. Wadhwa, Andrea Parolin Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang

ECCV 2024 MinD-3D: Reconstruct High-Quality 3D Objects in Human Brain Jianxiong Gao, Yuqian Fu, Yun Wang, Xuelin Qian, Jianfeng Feng, Yanwei Fu

ECCV 2024 NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-Individual Pretraining and Multi-Level Modulation Jingyang Huo, Yikai Wang, Yanwei Fu, Xuelin Qian, Chong Li, Yun Wang, Jianfeng Feng

ICCV 2023 IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow Estimation Yun Wang, Cheng Chi, Min Lin, Xin Yang

NeurIPSW 2023 Tree-Regularized Tabular Embeddings Xuan Li, Yun Wang, Bo Li

AAAI 2021 Deep Wasserstein Graph Discriminant Learning for Graph Classification Tong Zhang, Yun Wang, Zhen Cui, Chuanwei Zhou, Baoliang Cui, Haikuan Huang, Jian Yang

ICCV 2021 Wasserstein Coupled Graph Learning for Cross-Modal Retrieval Yun Wang, Tong Zhang, Xueya Zhang, Zhen Cui, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang

IJCAI 2019 Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks Yun Wang, Lun Du, Guojie Song, Xiaojun Ma, Lichen Jin, Wei Lin, Fei Sun

IJCAI 2018 Dynamic Network Embedding : An Extended Approach for Skip-Gram Based Network Embedding Lun Du, Yun Wang, Guojie Song, Zhicong Lu, Junshan Wang

IJCAI 2018 Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach Lun Du, Zhicong Lu, Yun Wang, Guojie Song, Yiming Wang, Wei Chen

ICLR 2014 Unsupervised Feature Learning by Deep Sparse Coding Yunlong He, Koray Kavukcuoglu, Yun Wang, Arthur Szlam, Yanjun Qi